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Whole-genome sequencing and comprehensive molecular profiling identify new driver mutations in gastric cancer
TLDR
A multidimensional and comprehensive genomic landscape that highlights the molecular complexity of gastric cancer and provides a road map to facilitate genome-guided personalized therapy is illustrated. Expand
Exome sequencing identifies frequent mutation of ARID1A in molecular subtypes of gastric cancer
TLDR
The mutation spectrum for ARID1A differs between molecular subtypes of gastric cancer, and mutation prevalence is negatively associated with mutations in TP53, and alterations were associated with better prognosis in a stage-independent manner. Expand
Molecular recognition of the inhibitor AG-1343 by HIV-1 protease: conformationally flexible docking by evolutionary programming.
TLDR
This work sets out to develop a strategy for flexible docking by combining a simple model of ligand-protein interactions for molecular recognition with an evolutionary programming search technique, and develops an intermolecular energy function that incorporates steric and hydrogen-bonding terms. Expand
Whole-genome sequencing identifies recurrent mutations in hepatocellular carcinoma.
TLDR
Findings from a whole-genome sequencing study of 88 matched HCC tumor/normal pairs, 81 of which are Hepatitis B virus (HBV) positive, find beta-catenin to be the mostrequently mutated oncogene and TP53 the most frequently mutated tumor suppressor. Expand
Deciphering common failures in molecular docking of ligand-protein complexes
TLDR
This protocol resolves some common failures in ligand-protein docking and detects crystallographic binding modes that were not found during docking simulations and proposes a proposed hierarchical approach that involves a hierarchy of energy functions. Expand
Genomic landscape of copy number aberrations enables the identification of oncogenic drivers in hepatocellular carcinoma
TLDR
It is demonstrated that characterizing the CNA landscape in HCC will facilitate the understanding of disease mechanisms and the identification of oncogenic drivers that may serve as potential therapeutic targets for the treatment of this devastating disease. Expand
PEST Domain Mutations in Notch Receptors Comprise an Oncogenic Driver Segment in Triple-Negative Breast Cancer Sensitive to a γ-Secretase Inhibitor
TLDR
This work suggests that Notch-altered breast cancer constitutes a bona fide oncogenic driver segment with the most common alteration being PEST domain mutations present in multiple Notch receptors. Expand
Inhibition of 11beta-hydroxysteroid dehydrogenase type 1 activity in vivo limits glucocorticoid exposure to human adipose tissue and decreases lipolysis.
TLDR
CBX is able to inhibit rapidly the generation of active GC in human adipose tissue and has functional consequences including decreased glycerol release, indicative of inhibition of GC-mediated lipolysis. Expand
A novel selective 11β-hydroxysteroid dehydrogenase type 1 inhibitor prevents human adipogenesis
TLDR
The increase in 11β-HSD1 mRNA expression and activity is essential for the induction of human adipogenesis and may represent a novel approach to treat obesity in patients with MS. Expand
Statistical method on nonrandom clustering with application to somatic mutations in cancer
TLDR
A new statistical method for detecting activating mutations in cancer by identifying nonrandom clusters of amino acid mutations in protein sequences that can identify new cancer targets as well as gain-of-function mutations in tumor suppressors is proposed. Expand
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